Erik de Ruiter

Erik de Ruiter

Consultant Data & AI at Highberg

About Erik

Erik specializes in guiding (semi-)public organizations through responsible digitalization processes. Leveraging his background in public administration and philosophy, he focuses on good and secure data utilization within government bodies. Erik's expertise has expanded to include the implementation of (generative) AI in the public sector, ensuring these cutting-edge technologies align with public values and policy objectives.

His recent research explores AI efficiency in public contexts, investigating how artificial intelligence can streamline processes while preserving public trust. Erik excels at translating complex, abstract concepts into concrete, actionable strategies. Through personalized attention and tailored solutions, he empowers organizations to navigate the ethical and organizational challenges of the digital age, particularly in AI adoption and governance.

Want to know more? Connect with Erik on LinkedIn.

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Article
5 min read
October 29, 2024
Is Generative AI the Digital Tower of Babel? Pride Comes Before a Fall

Imagine a mysterious disease ravaging a remote tribe in Papua New Guinea. The brains of those affected degenerate rapidly, and scientists soon discover the cause—a ritual in which the dead are consumed. This disease, later known as Kuru, spreads as the tribe literally ate themselves. Now, decades later, we see a similar phenomenon in the world of artificial intelligence (AI). No, our computers haven’t started eating each other (thank goodness!), but something disturbing is happening: Generative AI systems (hereinafter simply AI for readability) are increasingly “consuming” their own output, with potentially disastrous consequences. Welcome to the world of 'model collapse' and 'shitification' - two-dollar words for a multi-billion dollar problem.

Article
5 min read
March 1, 2024
AI-ethics: Does every organization need an ethics officer?

Steven Spielberg's "Minority Report" outlines a dystopian vision of the future in which a few individuals can predict crimes before they happen. Interesting, but what if these predictions are wrong, as happened in the film on occasion? These kinds of questions are now commonplace outside of Hollywood. Thanks to advanced computer technology, increasingly sophisticated algorithms are being developed. The past decade has taught us that risk in its application has not always received the attention it needed in hindsight. For example, "Follow The Money" recently revealed that until 2015, the Dutch police used an algorithm that estimated the risk of criminal behavior based in part on ethnicity.